Deliver Value in the Data Economy
Deliver Value in the Data Economy
Data monetization explained so that everyone understands it!
About the Book
The book Deliver Value in the Data Economy is for data monetization purposes, which helps you to build a bridge between the IT department and business design to maximize data-driven value creation.
Why the book is written?
Based on data product-related discussions with 200+ companies, we have seen that gap in knowledge is not in technology or adopting technology to monetize data assets. A lot of tools, platforms, and technical solutions exist and we have skilled people on the job. But the problem is that they do not know what to do or why.
The business layer in companies is lagging behind and has difficulties understanding and applying data economy in their business. We want to change that!
The book is written for business developers, CEOs, CIOs, CDOs, and all developing data-driven businesses. If you happen to be in a position in which innovating new business or leading digitalization is your thing, this book is for you!
The book was written by three experience Platforms, API, and Data Economy professionals because such a book was needed by many. We’ve done a lot of consulting and the same concepts, questions, concerns, etc. are repeatedly coming up. We thought that it might be handy to put all the repeating things in a book and share that.
Facts-based and use case driven content
The book offers insights based on our experiences in practical cases as well as results from academic research we conduct as well. Two of us have doctoral degrees from ecosystem-driven platform businesses. We will leave the technical aspects in the outer rings since those aspects are already covered in various blogs and podcasts. The focus is on the business side of data commodities also known mostly as data products and data as a service (DaaS).
We wrote a blog series called 100 Days of Data Economy before authoring this book. We used that series as an exercise to clarify our thoughts before putting it all in a package.
Enjoy reading the book and feel free to connect with us!
From 15th Jun forward $19,90
You can also preorder the hardcover version of the book. Expected delivery starts in September 2022. The price is $36,00 (VAT 0%) + postage.
Ultimate Data Product Development Package (PDF/Miro canvases + book)
Buy the absolute power package! The package includes Deliver Value in the Data Economy book. From the book, you'll get the knowledge on how to succeed in the Data Economy. The package contains also Data Product Toolkit 2.0, which is a ready-made and revenue-generating set of business canvas tools to create Data Products. The Data Product Toolkit 2.0 is based on experiences gained from 200+ real-world data monetization cases. Get the package and start data monetization today!
Data Product Toolkit (PDFs and Miro board for online working) has been developed based on 300+ data productizement cases. It's a business-focused package of canvases, which you can use to design Data Products. This toolkit is not sold anywhere else!
- 1. Introduction
- 2.1. Connect with main strategy and business objectives
- 2.2. Get started instead of perfect planning
- 2.3. Data maturity
- 2.4. Data markets
- 2.5. Case: Koskisen Oy
3. Business Data Environment
- 3.1. Thinking on business model level
- 3.2. Modelling data business model
- 3.3. Cost of bad data quality
- 3.4. Lifecycle costs can surprise you!
- 3.5. Where to spend money
- 3.6. Case: Stanley
4. Data commodities as value co-creation tools
- 4.1. Data Value Streams, Data Products and Data as a Service
- 4.2. Customer profile is in transition
- 4.3. Team and skills
- 4.4. Simple customer need driven cyclic process
- 4.5. Case: Demola Global
5. Data must flow in the Data Economy
- 5.1. From Data Pipelines to DataOps
- 5.2. Data Architecture and Data Platforms
- 5.3. Data Economy Standards
- 5.4. Web 3.0 and the new data economy
- 5.5. Case: Data of the social and health sector
6. All-in-one value delivery framework
- 6.1. Data Value Delivery Framework
- 6.2. Business Level
- 6.3. Operations Level
- 6.4. Technical Level
- 6.5. Full-stack thinking
- 6.6. Managed by experienced Chief Data Officer
- 7. Discussion and Data Economy Mandate
- Meet the Authors
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